update

app.py

@@ -37,24 +37,24 @@ def generate_text_based_on_mood(emotion):
         elif emotion == "sad":
             prompt = "Provide a comforting message for someone feeling sad."
         elif emotion == "angry":
-            prompt = "Suggest a way to calm down someone who is feeling angry."
+            prompt = "Suggest a way to calm down someone feeling angry."
         elif emotion == "fear":
             prompt = "Give an encouraging message for someone feeling fearful."
         elif emotion == "surprised":
             prompt = "Offer a fun fact or light-hearted comment for someone feeling surprised."
         elif emotion == "neutral":
             prompt = "Provide a general motivational quote."
-
-        # Call OpenAI's API
+        
+        # Call OpenAI's API using the new interface
         response = openai.ChatCompletion.create(
-            model="gpt-4",  # Use GPT-4 model
+            model="gpt-4",  # Specify the GPT-4 model
             messages=[
                 {"role": "user", "content": prompt}
             ]
         )
 
         # Extract the generated text
-        generated_text = response.choices[0].message['content']
+        generated_text = response['choices'][0]['message']['content']
         return generated_text.strip()
 
     except Exception as e:
@@ -75,7 +75,7 @@ def text_to_speech(text):
 
 # Streamlit UI
 st.title("Facial Expression Mood Detector")
-st.write("Upload an image of a face to detect mood and receive uplifting messages or motivations.")
+st.write("Upload an image of a face to detect mood and receive uplifting messages or jokes.")
 
 # Upload image
 uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])